EigenGP: Sparse Gaussian process models with data-dependent eigenfunctions

Yuan Qi, Bo Dai, Yao Zhu

Gaussian processes (GPs) provide a nonparametric representation of functions. However, classical GP inference suffers from high computational cost and it is difficult to design non…